One paper accepted to OPODIS 2023!
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks
One paper (Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks) is accepted to OPODIS 2023! This is joint work with Laura Schmid and Se-Young Yun (KAIST AI).
Larua will be attending the conference in person. Catch her if you can at Tokyo!
Junghyun Lee
PhD Student
PhD student at GSAI, KAIST, jointly advised by Profs. Se-Young Yun and Chulhee Yun. Research focuses on interactive machine learning, particularly at the intersection of RLHF and preference learning, and statistical analyses of large networks, with an emphasis on community detection. Broadly interested in mathematical and theoretical AI and related problems in mathematics.